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cosCorr

Overview

The cosCorr package implements the cosine-correlation coefficient, a novel measure for assessing the degree of linear dependence among variables in a multidimensional context.

Installation

install.packages("cosCorr")

Usage

library(cosCorr)

# Simple example
x <- c(0, 2, 3, 4)
rho <- cosCorr(x)
print(rho)

Mathematical Foundation

The cosine-correlation coefficient is defined as:

rho = [(p-1) * prod(|t_i|)] / sum(|t_i|^(p-1))

where t_1 = 0 and t_2, …, t_p are the variables in the system.

Author

Mehmet Niyazi Cankaya

Faculty of Applied Sciences

Department of International Trading and Finance

Usak University, Usak, Turkey

Email: mehmet.cankaya@usak.edu.tr

Reference

Cankaya, M. N. (2025). Derivatives through Probes in Regular Geometric Objects: A Dimensional Exploration for qqq-Sets in Time Scale Calculus. Fractals, in printing progress.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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